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Source channel @githubtrending · Post #15428 · Jan 22

#cplusplus FlashMLA is DeepSeek's optimized attention library that makes AI models run faster and use less memory. It works with advanced NVIDIA GPUs to speed up how language models process information, achieving up to 660 trillion floating-point operations per second. The library supports both dense and sparse attention modes, meaning it can focus on important tokens while skipping less relevant ones, reducing computational waste. For you, this means faster AI responses, lower costs for running large language models, and better performance on tasks like chatbots and code generation. The technology is open-source and integrates with popular AI frameworks like PyTorch and Hugging Face, making it accessible for developers building next-generation AI applications. https://github.com/deepseek-ai/FlashMLA

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Libreware

@libreware · Post #1321 · 08/29/2024, 08:23 PM

__ __ _ __ / /_____ ____ / /_(_) /__ / __/ __ \/ __ \/ __/ / //_/ / /_/ /_/ / /_/ / /_/ / ,< \__/\____/\____/\__/_/_/|_| tootik v0.12.0 [https://github.com/dimkr/tootik] tootik is a federated nanoblogging service for the small internet. tootik allows people to participate in the fediverse using their Gemini, Gopher or Finger client of choice and makes the fediverse lighter, more private and more accessible. tootik's interface strips content to bare essentials (like text and links), puts the users in control of the content they see and tries to "slow down" the fediverse to make it more compatible with the slower pace of the small internet. It's a single executable that handles both the federation (using ActivityPub) and the frontend (using Gemini) aspects, while sqlite takes care of persistency. It should be lightweight and efficient enough to host a small community even on a cheap server, and hopefully, be easy to hack on. tootik implements only a small subset of ActivityPub, and probably doesn't really conform to the spec. Changelog: [https://github.com/dimkr/tootik/releases/tag/0.12.0] #Gemini#Gopher#Guppy#Fediverse#ActivityPub